Fig. 1.

Procedure followed for the data-driven discovery of canonical whole-brain dynamics. Each iteration of the model consisted in local dynamics given by the 2 variables x, y combined in polynomial terms up to degree C with coefficients α_ij, coupling by the connectome scaled by G, and noise scaled by κ. After the initial selection of G, the parameters α_ij were optimized to reproduce the fMRI functional connectivity (FC) between all pairs of nodes. The optimal local dynamics can be characterized in terms of the 2D phase space of variables x, y, where different attractors can be identified and used to characterize the resulting dynamics.